This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the nusatranslation_mt dataset. It achieves the following results on the evaluation set:

Loss: 1.1479
Sacrebleu: 31.4299
Gen Len: 45.1465

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu	Gen Len
1.6013	1.0	1650	1.3829	29.312	45.592
1.2324	2.0	3300	1.2091	30.6403	45.6005
1.0217	3.0	4950	1.1552	31.428	45.0845
0.8984	4.0	6600	1.1470	31.4125	45.365
0.8012	5.0	8250	1.1479	31.4299	45.1465

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.13.1
Tokenizers 0.14.1

kepinsam/ind-to-bbc-nmt-v1

indonesian_to_bataknese_translation_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kepinsam/
ind-to-bbc-nmt-v1